The estimation of distances and angles is a routine part of an orthopedic surgical procedure. However, despite their prevalence, these steps are most often performed manually, heavily relying on the surgeon’s skill and experience. To address these issues, this study presents a sensor-equipped drill system which enables automatic estimation of the drilling angle and channel length. The angular accuracy and precision of the system were tested over a range of inclination angles and proved to be superior to the manual approach, with mean absolute errors ranging from 1.9 to 4.5 degrees for the manual approach, and from 0.6 to 1.3 degrees with the guided approach. When sensors were used for simultaneous estimation of both the inclination and anteversion angles, the obtained mean absolute errors were 0.35 ± 0.25 and 2 ± 1.33 degrees for the inclination and anteversion angles, respectively. Regarding channel length estimation, using measurements obtained with a Vernier caliper as a reference, the mean absolute error was 0.33 mm and the standard deviation of errors was 0.41 mm. The obtained results indicate a high potential of smart drill systems for improvement of accuracy and precision in orthopedic surgical procedures, enabling better patient clinical outcomes.

Abstract In this paper, we investigate the determinants of bank profitability by examining endogenous factors used to measure the size of a financial institution. We underscore the significance of bank employees in embodying institutional values and playing a pivotal role in sales channels, as well as the impact of technological integration on customer expectations and workforce dynamics. Utilizing a dataset from regulatory agencies, which includes information from 47 banks and insurance companies in Bosnia and Herzegovina for the year 2021, the study explores the relationship between the independent variables which include the volume of total assets and the number of employees, and the dependent variable for profitability. By calculating Return on Equity (ROE) and employing a multiple linear regression model, the study finds that a statistically significant relation between independent variables and the dependent variable does not exist. Despite this, the research highlights the need for further investigation, particularly considering the differentiation between banks and insurance companies, the potential impact of outliers, and the broader economic context of the year studied. The findings suggest that a more refined model, possibly incorporating panel data, could provide clearer insights into the profitability determinants of financial institutions in Bosnia and Herzegovina.

Abstract The public sector of the Federation of Bosnia and Herzegovina (FBiH) from the aspect of complexity and comprehensiveness, includes all levels of government established within the state government, public companies, and the insurance system including: pension, health and social. The importance of performing duties and obligations in a transparent manner, and the possibility of detecting warning factors for corrupt activity are especially important in the public sector. Corrupt activities at all levels of the state structure of Bosnia and Herzegovina (BiH), as well as fraudulent behaviour and abuses within it, are precisely the consequences of the complexity of the state system, and the impossibility of efficient and rational use of public funds. Adequately organized, in accordance with the law, and accepted as such by employees within a certain public sector organization, internal auditing contributes to more efficient operations and prevention of corrupt practices. The aim of the subject research is to look at the process of functioning of the internal audit in the public sector of FBiH in the field of prevention of corrupt activities. The results of the research indicate the non-functioning and non-establishment of the internal audit in the manner specified by law, as well as the inadequate implementation of its recommendations, degrading and derogating its role, importance and contribution in the prevention of corrupt activities in the public sector of FBiH.

PFAS are ubiquitous industrial chemicals with known adverse health effects, particularly on the liver. The liver, being a vital metabolic organ, is susceptible to PFAS-induced metabolic dysregulation, leading to conditions such as hepatotoxicity and metabolic disturbances. In this study, we investigated the phenotypic and metabolic responses of PFAS exposure using two hepatocyte models, HepG2 (male cell line) and HepaRG (female cell line), aiming to define phenotypic alterations, and metabolic disturbances at the metabolite and pathway levels. The PFAS mixture composition was selected based on epidemiological data, covering a broad concentration spectrum observed in diverse human populations. Phenotypic profiling by Cell Painting assay disclosed predominant effects of PFAS exposure on mitochondrial structure and function in both cell models as well as effects on F-actin, Golgi apparatus, and plasma membrane-associated measures. We employed comprehensive metabolic characterization using liquid chromatography combined with high-resolution mass spectrometry (LC-HRMS). We observed dose-dependent changes in the metabolic profiles, particularly in lipid, steroid, amino acid and sugar and carbohydrate metabolism in both cells as well as in cell media, with HepaRG cell line showing a stronger metabolic response. In cells, most of the bile acids, acylcarnitines and free fatty acids showed downregulation, while medium-chain fatty acids and carnosine were upregulated, while the cell media showed different response especially in relation to the bile acids in HepaRG cell media. Importantly, we observed also nonmonotonic response for several phenotypic features and metabolites. On the pathway level, PFAS exposure was also associated with pathways indicating oxidative stress and inflammatory responses. Taken together, our findings on PFAS-induced phenotypic and metabolic disruptions in hepatocytes shed light on potential mechanisms contributing to the broader comprehension of PFAS-related health risks.

Abstract In modern power systems, reliable electricity supply is crucial. This study analyzes the impact of small hydro power plants (SHPP) and photovoltaic (PV) systems on a low-voltage network using DigSILENT PowerFactory software tool. Results show that PV systems increase total harmonic distortion (THD), while sHPP reduces THD and significantly increases short-circuit currents during faults. These findings highlight the importance of strategic integration of distributed generation (DG) sources to maintain network quality and stability.

Abstract This paper examines the potential for transforming the Faculty of Mechanical Engineering building in Mostar into a Net Zero Energy Building (NZEB). The study assesses the building’s current energy consumption and explores feasible upgrades to achieve complete energy independence and zero CO2 emissions. The hybrid system, composed of rooftop solar panels, wind turbines, and a heat pump, has been thoroughly analyzed in this research to identify opportunities for optimization and expansion. Using software tools such as HOMER Pro and SUNNY DESIGN, the study models renewable energy capacities and simulates system performance to determine the investment potential and economic feasibility of achieving net-zero energy status. The findings offer valuable insights into practical strategies for implementing NZEB principles in public buildings across Bosnia and Herzegovina, contributing to broader sustainability goals and energy security in the region.

Abstract This paper investigates the potential application of neural networks for predicting electricity production in hybrid systems combining photovoltaic (PV) panels and wind turbines. The research focuses on identifying key factors affecting the efficiency and reliability of these systems, including weather variability, PV panel temperature control, solar irradiation, and panel contamination by dust and other pollutants. Artificial neural network (ANN) models are used to predict power output, incorporating robust data filtering and parameter optimization techniques. Through case studies from Germany, the significant role of stochastic weather patterns on energy production is demonstrated, highlighting the need for accurate modeling and strategic management. The findings emphasize that accurate modeling and prediction are crucial for optimizing the operation and reliability of hybrid systems, facilitating a reduced dependency on fossil fuels and promoting sustainable power accessibility in remote areas. By applying a Feed Forward Back Propagation Network (FFBPN), this research demonstrates improved prediction accuracy of power outputs, which is crucial for effective integration and management of renewable sources in the power grid. The study supports ongoing refinement of predictive models and system integration strategies to fully harness the potential of hybrid renewable energy systems.

Abstract The paper provides an overview of all freshwater red algae species recorded to date in the territory of Bosnia and Herzegovina. Based on fieldwork and analysis of all available previously published data, it was determined that a total of 15 taxa from eight genera have been recorded to date: Bangia (1), Audoinella (3), Batrachospermum (2), Peludicola (1), Shaethia (1), Lemanea (4), Paralemanea (2) and Hildenbrandia (1). All taxa were found in clear, cold, well-oxygenated water. Bosnia and Herzegovina is very rich in different types of aquatic habitats. More than 100 sites were visited during the field research, but there are still many potential habitats where freshwater red algae can be found, which will be explored in the coming years. This work is the first step toward establishing long-term monitoring and listing of protected and threatened red algae in Bosnia and Herzegovina.

Background: Severe coagulation abnormalities are common in patients with COVID-19 infection. We aimed to investigate the relationship between pro-inflammatory cytokines and coagulation parameters concerning socio-demographic, clinical, and laboratory characteristics. Methods: Our study included patients hospitalized during the second wave of COVID-19 in the Republic of Serbia. We collected socio-demographic, clinical, and blood-sample data for all patients. Cytokine levels were measured using flow cytometry. Results: We analyzed data from 113 COVID-19 patients with an average age of 58.15 years, of whom 79 (69.9%) were male. Longer duration of COVID-19 symptoms before hospitalization (B = 69.672; p = 0.002) and use of meropenem (B = 1237.220; p = 0.014) were predictive of higher D-dimer values. Among cytokines, higher IL-5 values significantly predicted higher INR values (B = 0.152; p = 0.040) and longer prothrombin times (B = 0.412; p = 0.043), and higher IL-6 (B = 0.137; p = 0.003) predicted longer prothrombin times. Lower IL-17F concentrations at admission (B = 0.024; p = 0.050) were predictive of higher INR values, and lower IFN-γ values (B = −0.306; p = 0.017) were predictive of higher aPTT values. Conclusions: Our findings indicate a significant correlation between pro-inflammatory cytokines and coagulation-related parameters. Factors such as the patient’s level of education, gender, oxygen-therapy use, symptom duration before hospitalization, meropenem use, and serum concentrations of IL-5, IL-6, IL-17F, and IFN-γ were associated with worse coagulation-related parameters.

Over the past 30 years, forensic experts from Croatia and Bosnia and Herzegovina have embraced advanced technologies and innovations to enable great efficacy and proficiency in the identification of war victims. The wartime events in the countries of former Yugoslavia greatly influenced the application of the selected DNA analyses as routine tools for the identification of skeletal remains, especially those from mass graves. Initially, the work was challenging because of the magnitude of the events, technical aspects, and political aspects. Collaboration with reputable foreign forensic experts helped tremendously in the efforts to start applying DNA analysis routinely and with increasing success. In this article, we reviewed the most significant achievements related to the application of DNA analysis in identifying skeletal remains in situations where standard identification methods were insufficient.

Due to its turbulent demographic history, marked by extensive settlement and gene flow from diverse regions of Eurasia, Southeastern Europe (SEE) has consistently served as a genetic crossroads between East and West and a junction for the migrations that reshaped Europe’s population. SEE, including modern Croatian territory, was a crucial passage from the Near East and even more distant regions and human populations in this region, as almost any other European population represents a remarkable genetic mixture. Modern humans have continuously occupied this region since the Upper Paleolithic era, and different (pre)historical events have left a distinctive genetic signature on the historical narrative of this region. Our views of its history have been mostly renewed in the last few decades by extraordinary data obtained from Y-chromosome studies. In recent times, the international research community, bringing together geneticists and archaeologists, has steadily released a growing number of ancient genomes from this region, shedding more light on its complex past population dynamics and shaping the genetic pool in Croatia and this part of Europe.